Bear MCP Server is a Model Context Protocol (MCP) server that provides access to the notes stored in the Bear Notes application. It runs SQL commands on the SQLite database where Bear stores its notes, allowing users to read notes, search notes by text, and list all tags.
Bear MCP Server allows users to programmatically interact with their Bear Notes data. This can be useful for automating tasks, integrating with other applications, or building custom tools around the notes stored in Bear.
Developers, power users, or anyone interested in accessing and manipulating their Bear Notes data through code or external applications would benefit from using Bear MCP Server.
Bear MCP Server operates on macOS systems where the Bear note-taking application is installed. It accesses the SQLite database used by Bear to store notes locally on the user's machine.
You should use Bear MCP Server when you need programmatic access to your Bear Notes data, such as retrieving all notes, searching for specific content, or listing tags for integration purposes.
To install Bear MCP Server, clone the project repository using 'git clone https://github.com/akseyh/bear-mcp-server', navigate into the directory with 'cd bear-mcp-server', install dependencies via 'npm install', and build the project using 'npm run build'.
The requirements include having Node.js installed, the Bear note application (macOS), and access to the Bear SQLite database.
When the server starts, three MCP tools become available: 'get_notes' to retrieve all notes, 'get_tags' to list all tags, and 'get_notes_like' to search for notes containing specific text.
Update your 'claude_desktop_config.json' file by adding the path to the built index.js file under the 'bear' section in 'mcpServers'. Ensure the command is set to 'node' and provide the correct arguments pointing to your Bear MCP Server installation.
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
At mcpserver.shop, you can browse our MCP Server Directory. The directory is categorized by industry (e.g., finance, healthcare, education), and each server comes with detailed descriptions and tags to help you quickly find the option that suits your needs.
The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
MCP Servers are primarily designed for developers, data scientists, and AI app builders. However, mcpserver.shop provides detailed documentation and guides to help users of varying technical levels get started easily.
Yes, MCP is an open-source protocol that encourages community participation and collaboration. For more details or to contribute, visit the official MCP documentation.
On mcpserver.shop, each MCP Server’s detailed page includes the provider’s contact information or a link. You can directly reach out to the provider for more details or technical support.